Fix entry point and some issues with sqlite glob operand

[datasette-pytables.git] / README.md

diff --git a/README.md b/README.md
index a447c04e834a0768199862ea71ec6c1de6664ec3..57e027049ead7f5689b7bdb576d46d5b8ded94bd 100644 (file)
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@@ -1,6 +1,9 @@
+[![Build Status](https://travis-ci.org/PyTables/datasette-pytables.svg?branch=master)](https://travis-ci.org/PyTables/datasette-pytables)
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 # datasette-pytables
 
-Datasette-PyTables provides a web interface and a JSON API for [PyTables](https://github.com/PyTables/PyTables) files, allowing them to be accessible for e.g. Javascript programs. It works in conjunction with [Datasette-Core](https://github.com/PyTables/datasette-core), a trivial fork of the original [Datasette](https://github.com/simonw/datasette), which provides a web interface for SQLite files.  This fork is able to work with SQLite files, like the original project, but can accept external connectors for any kind of database files, so you can develop your own connector for your favourite data container if you want (read [developers doc](https://github.com/PyTables/datasette-pytables/blob/master/DEVELOPERS.md))
+Datasette-PyTables provides a web interface and a JSON API for [PyTables](https://github.com/PyTables/PyTables) files, allowing them to be accessible for e.g. Javascript programs. It works in conjunction with [Datasette-Core](https://github.com/PyTables/datasette-core), a trivial fork of the original [Datasette](https://github.com/simonw/datasette), which provides a web interface for SQLite files.  This fork is able to work with SQLite files, like the original project, but can accept external connectors for any kind of database files, so you can develop your own connector for your favourite data container if you want (read [developers doc](https://github.com/PyTables/datasette-pytables/blob/master/DEVELOPERS.md)).
 
 ## Installation
 
@@ -13,3 +16,7 @@ Run `pip install datasette-pytables` to install both the forked version of Datas
 This will start a web server on port 8001; then you can access to your data visiting [http://localhost:8001/](http://localhost:8001/)
 
 Read the [Datasette documentation](http://datasette.readthedocs.io/en/latest/) for more advanced options.
+
+See how a typical Table query looks like in the Datasette-PyTables web interface:
+
+![Datasette Screenshot](/images/Datasette-Screenshot.png)